Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Simon Caton"'
Publikováno v:
PLoS ONE, Vol 19, Iss 8 (2024)
Externí odkaz:
https://doaj.org/article/f84f8dcb50e34f32aea3dcc017ca2026
Publikováno v:
IEEE Access, Vol 11, Pp 88807-88823 (2023)
Reaching marginal and other migrant communities to elicit their political views and opinions is a well-known challenge. Social media has enabled a certain amount of online activism and participation, especially in societies with abundant multicultura
Externí odkaz:
https://doaj.org/article/4b1e6bc98da442ec8fb8635cf6287bc5
Publikováno v:
IEEE Access, Vol 11, Pp 76388-76402 (2023)
There is an increasing interest in the area of quantum computing but developing quantum algorithms is difficult. Neural Network augmented search algorithms have proven quite successful for general search problems (like program generation) but current
Externí odkaz:
https://doaj.org/article/6f569a183867467d8b3456b71e148a48
Publikováno v:
IEEE Access, Vol 10, Pp 99709-99723 (2022)
Crowd sourcing and human computation has slowly become a mainstay for many application areas that seek to leverage the crowd in the development of high quality datasets, annotations, and problem solving beyond the reach of current AI solutions. One o
Externí odkaz:
https://doaj.org/article/c888ebfe45ae45cd8fee2db92bd19ed7
Publikováno v:
IEEE Access, Vol 10, Pp 37774-37795 (2022)
In recent years, computational approaches for automatically extracting the voice of the customer from user generated content have been proposed. These studies have tackled the task of obtaining current customer needs, however, there is a lack of meth
Externí odkaz:
https://doaj.org/article/7babf4ba302c46568a101115066517ec
Autor:
Margeret Hall, Simon Caton
Publikováno v:
PLoS ONE, Vol 12, Iss 9, p e0184417 (2017)
Across social media platforms users (sub)consciously represent themselves in a way which is appropriate for their intended audience. This has unknown impacts on studies with unobtrusive designs based on digital (social) platforms, and studies of cont
Externí odkaz:
https://doaj.org/article/a4d0f3fa570f477ea42b51a89f328045
Publikováno v:
Big Data & Society, Vol 2 (2015)
In the age of the digital generation, written public data is ubiquitous and acts as an outlet for today's society. Platforms like Facebook, Twitter, Google+ and LinkedIn have profoundly changed how we communicate and interact. They have enabled the e
Externí odkaz:
https://doaj.org/article/fcb912da30de4914a6c37f35542887a0
Publikováno v:
Journal of Artificial Intelligence Research. 74:1011-1035
Research on Fairness and Bias Mitigation in Machine Learning often uses a set of reference datasets for the design and evaluation of novel approaches or definitions. While these datasets are well structured and useful for the comparison of various ap
Publikováno v:
Articles
Deep Learning models based on convolutional neural networks are known to be uncalibrated, that is, they are either overconfident or underconfident in their predictions. Safety-critical applications of neural networks, however, require models to be we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0853a657a22f827c23094e7d2a7c263a
https://arrow.tudublin.ie/context/scschcomart/article/1209/viewcontent/Subnetwork_ensembling_and_data_augmentation.pdf
https://arrow.tudublin.ie/context/scschcomart/article/1209/viewcontent/Subnetwork_ensembling_and_data_augmentation.pdf
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031264375
Personalisation in search has improved performance, focus, and user experience to a great extent, however, it also arguably polarises informational perspectives. This paper seeks to illustrate an experimental methodology to quantify how three situati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a72b2d63bc475e77d997dfb08a18e6c
https://doi.org/10.1007/978-3-031-26438-2_39
https://doi.org/10.1007/978-3-031-26438-2_39